A Study on the Relationship between RPE and sEMG in Dynamic Contraction Based on the GPR Method
The rating of perceived exertion (RPE) and surface electromyography (sEMG) describe exercise intensity subjectively and objectively, while there has been a lack of research on the relationship between them during dynamic contractions to predict exercise intensity, comprehensively. The purpose of thi...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2022-02-01
|
| Series: | Electronics |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2079-9292/11/5/691 |
| _version_ | 1797475367269695488 |
|---|---|
| author | Weiguang Ni Yuxin Zhang Xinyi Li Xixi Wang Yiqi Wu Guangda Liu |
| author_facet | Weiguang Ni Yuxin Zhang Xinyi Li Xixi Wang Yiqi Wu Guangda Liu |
| author_sort | Weiguang Ni |
| collection | DOAJ |
| description | The rating of perceived exertion (RPE) and surface electromyography (sEMG) describe exercise intensity subjectively and objectively, while there has been a lack of research on the relationship between them during dynamic contractions to predict exercise intensity, comprehensively. The purpose of this study was to establish a model of the relationship between sEMG and RPE during dynamic exercises. Therefore, 20 healthy male subjects were organized to perform an incremental load test on a cycle ergometer, and the subjects’ RPEs (Borg Scale 6–20) were collected every minute. Additionally, the sEMGs of the subjects’ eight lower limb muscles were collected. The sEMG features based on time domain, frequency domain and time–frequency domain methods were extracted, and the relationship model was established using Gaussian process regression (GPR). The results show that the sEMG and RPE of the selected lower limb muscles are significantly correlated (<i>p</i> < 0.05) but that they have different monotonic correlation degrees. The model that was established with all three domain features displayed optimal performance and when the RPE was 13, the prediction error was the smallest. The study is significant for lower limb muscle training strategy and quantification of training intensity from both subjective and objective aspects, and lays a foundation for sEMG further applications in rehabilitation medicine and sports training. |
| first_indexed | 2024-03-09T20:44:10Z |
| format | Article |
| id | doaj.art-cf88038f8c8f47b59d532e1158873549 |
| institution | Directory Open Access Journal |
| issn | 2079-9292 |
| language | English |
| last_indexed | 2024-03-09T20:44:10Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Electronics |
| spelling | doaj.art-cf88038f8c8f47b59d532e11588735492023-11-23T22:52:34ZengMDPI AGElectronics2079-92922022-02-0111569110.3390/electronics11050691A Study on the Relationship between RPE and sEMG in Dynamic Contraction Based on the GPR MethodWeiguang Ni0Yuxin Zhang1Xinyi Li2Xixi Wang3Yiqi Wu4Guangda Liu5College of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, ChinaTsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen 518055, ChinaSchool of Instrument Science and Engineering, Southeast University, Nanjing 210096, ChinaCollege of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, ChinaPhysical Education College, Jilin University, Changchun 130061, ChinaCollege of Instrumentation and Electrical Engineering, Jilin University, Changchun 130061, ChinaThe rating of perceived exertion (RPE) and surface electromyography (sEMG) describe exercise intensity subjectively and objectively, while there has been a lack of research on the relationship between them during dynamic contractions to predict exercise intensity, comprehensively. The purpose of this study was to establish a model of the relationship between sEMG and RPE during dynamic exercises. Therefore, 20 healthy male subjects were organized to perform an incremental load test on a cycle ergometer, and the subjects’ RPEs (Borg Scale 6–20) were collected every minute. Additionally, the sEMGs of the subjects’ eight lower limb muscles were collected. The sEMG features based on time domain, frequency domain and time–frequency domain methods were extracted, and the relationship model was established using Gaussian process regression (GPR). The results show that the sEMG and RPE of the selected lower limb muscles are significantly correlated (<i>p</i> < 0.05) but that they have different monotonic correlation degrees. The model that was established with all three domain features displayed optimal performance and when the RPE was 13, the prediction error was the smallest. The study is significant for lower limb muscle training strategy and quantification of training intensity from both subjective and objective aspects, and lays a foundation for sEMG further applications in rehabilitation medicine and sports training.https://www.mdpi.com/2079-9292/11/5/691dynamic contractiontraining intensitysEMGRPEIEMGstep incremental load test |
| spellingShingle | Weiguang Ni Yuxin Zhang Xinyi Li Xixi Wang Yiqi Wu Guangda Liu A Study on the Relationship between RPE and sEMG in Dynamic Contraction Based on the GPR Method Electronics dynamic contraction training intensity sEMG RPE IEMG step incremental load test |
| title | A Study on the Relationship between RPE and sEMG in Dynamic Contraction Based on the GPR Method |
| title_full | A Study on the Relationship between RPE and sEMG in Dynamic Contraction Based on the GPR Method |
| title_fullStr | A Study on the Relationship between RPE and sEMG in Dynamic Contraction Based on the GPR Method |
| title_full_unstemmed | A Study on the Relationship between RPE and sEMG in Dynamic Contraction Based on the GPR Method |
| title_short | A Study on the Relationship between RPE and sEMG in Dynamic Contraction Based on the GPR Method |
| title_sort | study on the relationship between rpe and semg in dynamic contraction based on the gpr method |
| topic | dynamic contraction training intensity sEMG RPE IEMG step incremental load test |
| url | https://www.mdpi.com/2079-9292/11/5/691 |
| work_keys_str_mv | AT weiguangni astudyontherelationshipbetweenrpeandsemgindynamiccontractionbasedonthegprmethod AT yuxinzhang astudyontherelationshipbetweenrpeandsemgindynamiccontractionbasedonthegprmethod AT xinyili astudyontherelationshipbetweenrpeandsemgindynamiccontractionbasedonthegprmethod AT xixiwang astudyontherelationshipbetweenrpeandsemgindynamiccontractionbasedonthegprmethod AT yiqiwu astudyontherelationshipbetweenrpeandsemgindynamiccontractionbasedonthegprmethod AT guangdaliu astudyontherelationshipbetweenrpeandsemgindynamiccontractionbasedonthegprmethod AT weiguangni studyontherelationshipbetweenrpeandsemgindynamiccontractionbasedonthegprmethod AT yuxinzhang studyontherelationshipbetweenrpeandsemgindynamiccontractionbasedonthegprmethod AT xinyili studyontherelationshipbetweenrpeandsemgindynamiccontractionbasedonthegprmethod AT xixiwang studyontherelationshipbetweenrpeandsemgindynamiccontractionbasedonthegprmethod AT yiqiwu studyontherelationshipbetweenrpeandsemgindynamiccontractionbasedonthegprmethod AT guangdaliu studyontherelationshipbetweenrpeandsemgindynamiccontractionbasedonthegprmethod |